Machine Learning with Python

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LOGISTIC REGRESSION

 

Machine learning generally involves predicting a quantitative outcome or a qualitative class. The former is commonly referred to as a regression problem, and in the case of linear regression, this involves predicting a numeric outcome based on the input of continuous variables. When predicting a qualitative outcome (class), the task is considered a classification problem. Examples of classification problems include predicting what products a user will buy or predicting if a target user will click on an online advertisement (True/False).

Not all algorithms, though, fit cleanly into this simple dichotomy and logistic regression is a notable example. Logistic regression is part of the regression family because, ...